南方科技大学知识苑(SUSTech KC): Privacy-preserving data collection for 1: M dataset

题名	Privacy-preserving data collection for 1: M dataset
作者	Abrar，M.1; Zuhaira，B.1; Anjum，A.1,2
通讯作者	Anjum，A.
发表日期	2021
DOI	10.1007/s11042-021-10562-3
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS 影响因子和分区
ISSN	1380-7501
EISSN	1573-7721
卷号	80页码:31335-31356
摘要	Generation of humongous data in recent times is due to the ever-growing sources, primarily the Internet of Things, which is then collected to develop effective Artificial Intelligence (AI) and machine learning (ML) solutions. Though such data provides useful insight on various trends that eventually results in better quality of life, collecting such data raises privacy concerns for data owners. Preserving the privacy of individuals during the process of data collection is an important problem specifically in the context of 1:M datasets (an individual can have multiple records). Therefore, a novel privacy-preserving data collection protocol, for 1: M datasets has been proposed in this paper. The privacy-preserving mechanism ensures data safety from external and internal privacy breaches and its effective usage in micro data analysis through AI and ML methods. The use of the leader election algorithm and the notion of l-anatomy minimize the risk of privacy disclosures and enabled us to achieve higher computational efficiency.
关键词	Composite slicing Data l-anatomy Privacy Privacy mechanism Privacy violation Privacy-preserving
相关链接	[Scopus记录]
收录类别	SCI ; EI
语种	英语
学校署名	通讯
WOS记录号	WOS:000659401100002
EI入藏号	20212410485872
EI主题词	Artificial intelligence ; Computational efficiency ; Privacy by design
EI分类号	Data Processing and Image Processing:723.2 ; Artificial Intelligence:723.4
ESI学科分类	COMPUTER SCIENCE
Scopus记录号	2-s2.0-85107504427
来源库	Scopus
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/242432
专题	工学院_计算机科学与工程系
作者单位	1.Department of Computer Sciences,Comsats University Islamabad,Islamabad,Pakistan 2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,1088 Xueyuan Ave, Nanshan,518055,China
通讯作者单位	计算机科学与工程系
推荐引用方式 GB/T 7714	Abrar，M.,Zuhaira，B.,Anjum，A.. Privacy-preserving data collection for 1: M dataset[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2021,80:31335-31356.
APA	Abrar，M.,Zuhaira，B.,&Anjum，A..(2021).Privacy-preserving data collection for 1: M dataset.MULTIMEDIA TOOLS AND APPLICATIONS,80,31335-31356.
MLA	Abrar，M.,et al."Privacy-preserving data collection for 1: M dataset".MULTIMEDIA TOOLS AND APPLICATIONS 80(2021):31335-31356.